Jingkun Yan
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Topics
- Neural Networks and Applications (4 papers)Model Reduction and Neural Networks (4 papers)Control Systems and Identification (3 papers)
In The Last Decade
Jingkun Yan
11 papers receiving 273 citations
Peers
Comparison fields: 5 of 53
- Control and Systems Engineering 171
- Artificial Intelligence 108
- Computer Vision and Pattern Recognition 57
- Statistical and Nonlinear Physics 41
- Electrical and Electronic Engineering 28
Countries citing papers authored by Jingkun Yan
This map shows the geographic impact of Jingkun Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jingkun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingkun Yan more than expected).
Fields of papers citing papers by Jingkun Yan
This network shows the impact of papers produced by Jingkun Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jingkun Yan. The network helps show where Jingkun Yan may publish in the future.
Co-authorship network of co-authors of Jingkun Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Jingkun Yan. A scholar is included among the top collaborators of Jingkun Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingkun Yan. Jingkun Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 39 | |
| 7 | 141 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 25 | |
| 11 | 2 |
About Jingkun Yan
Jingkun Yan is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 11 papers that have together received 279 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Model Reduction and Neural Networks (4 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Computational Mathematics (5 citations), Control and Systems Engineering (171 citations) and Artificial Intelligence (108 citations). Jingkun Yan has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Long Jin, Xiuchun Xiao, Dongyang Fu, Xiujuan Du, Bin Hu, Jiliang Zhang, Mei Liu, Mei Liu, Jingwen Yan and Shuai Li. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Cybernetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.